Donald J. Cavalieri
- Atmospheric Science top 0.5%
- Global and Planetary Change top 1%
- Oceanography top 1%
- Environmental Chemistry top 1%
- Ecology top 5%
- Co-authors
- Claire L. ParkinsonP. GloersenJosefino C. ComisoH. Jay ZwallySeelye MartinThomas J. WeingartnerYasunori SasakiKnut Aagaard
- Topics
- Arctic and Antarctic ice dynamics (56 papers)Climate change and permafrost (37 papers)Cryospheric studies and observations (35 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Donald J. Cavalieri
52 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Atmospheric Science 4.1k
- Global and Planetary Change 1.3k
- Oceanography 1.1k
- Environmental Chemistry 692
- Ecology 444
Countries citing papers authored by Donald J. Cavalieri
This map shows the geographic impact of Donald J. Cavalieri's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Donald J. Cavalieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald J. Cavalieri more than expected).
Fields of papers citing papers by Donald J. Cavalieri
This network shows the impact of papers produced by Donald J. Cavalieri. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Donald J. Cavalieri. The network helps show where Donald J. Cavalieri may publish in the future.
Co-authorship network of co-authors of Donald J. Cavalieri
This figure shows the co-authorship network connecting the top 25 collaborators of Donald J. Cavalieri. A scholar is included among the top collaborators of Donald J. Cavalieri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donald J. Cavalieri. Donald J. Cavalieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 25 | |
| 3 | 12 | |
| 4 | 13 | |
| 5 | Sea Ice Surface Temperature Product from the Moderate Resolution Imaging Spectroradiometer (MODIS) | 13 |
| 6 | 4 | |
| 7 | 42 | |
| 8 | 17 | |
| 9 | 105 | |
| 10 | 25 | |
| 11 | Arctic sea ice extents, areas, and trends, 1978–1996breakdown → | 554 |
| 12 | A Revision of the NASA Team Sea Ice Algorithm | 1 |
| 13 | 26 | |
| 14 | 81 | |
| 15 | 129 | |
| 16 | 60 | |
| 17 | 81 | |
| 18 | NASA sea ice and snow validation plan for the Defense Meteorological Satellite Program special sensor microwave/imager | 3 |
| 19 | 8 | |
| 20 | 14 |
About Donald J. Cavalieri
Donald J. Cavalieri is a scholar working on Atmospheric Science, Environmental Chemistry and Oceanography, having authored 57 papers that have together received 4.5k indexed citations. Recurring topics across this work include Arctic and Antarctic ice dynamics (56 papers), Climate change and permafrost (37 papers) and Cryospheric studies and observations (35 papers). The work is most often cited by research in Atmospheric Science (4.1k citations), Oceanography (1.1k citations) and Environmental Chemistry (692 citations). Donald J. Cavalieri has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Claire L. Parkinson, P. Gloersen, Josefino C. Comiso, H. Jay Zwally, Seelye Martin, Thomas J. Weingartner, Yasunori Sasaki, Knut Aagaard, T. Markus and Konstantin Y. Vinnikov. Their work appears in journals such as Science, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.